Modelling of Conventional and Severe Shot Peening Influence on Properties of High Carbon Steel via Artificial Neural Network

International Journal of Engineering ◽

10.5829/ije.2018.31.02b.24 ◽

2018 ◽

Vol 31 (2) ◽

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Steel ◽

Shot Peening ◽

High Carbon Steel ◽

High Carbon ◽

Artificial Neural ◽

Severe Shot Peening

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Application of Artificial Neural Network to Predict the Effects of Severe Shot Peening on Properties of Low Carbon Steel

Machining, Joining and Modifications of Advanced Materials - Advanced Structured Materials ◽

10.1007/978-981-10-1082-8_5 ◽

2016 ◽

pp. 45-60 ◽

Author(s):

Erfan Maleki ◽

Gholam Hossein Farrahi ◽

Khalil Sherafatnia

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Steel ◽

Shot Peening ◽

Low Carbon Steel ◽

Artificial Neural ◽

Severe Shot Peening

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Modeling of Severe Shot Peening Effects to Obtain Nanocrystalline Surface on Cast Iron Using Artificial Neural Network

Materials Today Proceedings ◽

10.1016/j.matpr.2016.04.126 ◽

2016 ◽

Vol 3 (6) ◽

pp. 2197-2206 ◽

Author(s):

Erfan Maleki

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Cast Iron ◽

Shot Peening ◽

Artificial Neural ◽

Severe Shot Peening

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An Artificial Neural Network Modeling to Study Unpredictable Degradation of Carbon Steel Marine Structure with Environmental Variables: Chloride, Sulphate, Bicarbonates, pH

Innovations in Corrosion and Materials Science (Formerly Recent Patents on Corrosion Science) ◽

10.2174/2352094904999141202103233 ◽

2015 ◽

Vol 4 (2) ◽

pp. 127-133

Author(s):

Subir Paul ◽

Sujit K Guchhait ◽

Kamal Goswami

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Steel ◽

Environmental Variables ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Marine Structure ◽

Artificial Neural

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Impact factor analysis, prediction, and mapping of soil corrosion of carbon steel across China based on MIV-BP artificial neural network and GIS

Journal of Soils and Sediments ◽

10.1007/s11368-020-02649-5 ◽

2020 ◽

Vol 20 (8) ◽

pp. 3204-3216

Author(s):

Jingyang Li ◽

Cong Men ◽

Junfeng Qi ◽

Bin Yang ◽

Ruimin Liu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Factor Analysis ◽

Carbon Steel ◽

Impact Factor ◽

Bp Artificial Neural Network ◽

Soil Corrosion ◽

Artificial Neural ◽

Analysis Prediction

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Modeling the Quantitative Effect of Alloying Elements on the Ms Temperature of High Carbon Steel by Artificial Neural Networks

SSRN Electronic Journal ◽

10.2139/ssrn.3889918 ◽

2021 ◽

Author(s):

Xiao-song Wang ◽

P. L. Narayana ◽

A. K. Maurya ◽

Hong-In Kim ◽

Bo-Young Hur ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Carbon Steel ◽

High Carbon Steel ◽

Alloying Elements ◽

High Carbon ◽

Quantitative Effect ◽

Artificial Neural ◽

Effect Of Alloying

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Predicting mechanical properties of cold rolled low carbon steel based on magnetic parameter measurement using artificial neural network

2010 International Conference on Computer Applications and Industrial Electronics ◽

10.1109/iccaie.2010.5735020 ◽

2010 ◽

Author(s):

M. Eftekhari ◽

M. Moallem ◽

S. Sadri ◽

A. Sadeghi ◽

M. A. Ghadamyari ◽

...

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Artificial Neural Network ◽

Carbon Steel ◽

Magnetic Parameter ◽

Low Carbon Steel ◽

Parameter Measurement ◽

Cold Rolled ◽

Artificial Neural

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An Early Stopping-Based Artificial Neural Network Model for Atmospheric Corrosion Prediction of Carbon Steel

Computers Materials & Continua ◽

10.32604/cmc.2020.011608 ◽

2020 ◽

Vol 65 (3) ◽

pp. 2091-2109

Author(s):

Phyu Hnin Thike ◽

Zhaoyang Zhao ◽

Peng Liu ◽

Feihu Bao ◽

Ying Jin ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Steel ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Atmospheric Corrosion ◽

Early Stopping ◽

Artificial Neural

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Predicting the Influence of Process Parameters on Depth of HAZ Using Artificial Neural Network on Shielded Metal Arc Welded AISI 1018 Low Carbon Steel Joints

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1116/1/012005 ◽

2021 ◽

Vol 1116 (1) ◽

pp. 012005

Author(s):

R P Singh ◽

D Pathak

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Steel ◽

Process Parameters ◽

Low Carbon Steel ◽

Influence Of Process Parameters ◽

Artificial Neural ◽

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Artificial Neural Network Modeling for Al-Zn-Sn Sacrificial Anode protection of Low Carbon Steel in Saline Media

American Journal of Materials Science ◽

10.5923/j.materials.20120203.05 ◽

2012 ◽

Vol 2 (3) ◽

pp. 62-65 ◽

Author(s):

O. Oluwole ◽

N. Idusuyi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Steel ◽

Network Modeling ◽

Low Carbon Steel ◽

Neural Network Modeling ◽

Sacrificial Anode ◽

Artificial Neural Network Modeling ◽

Artificial Neural

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Prediction of Mechanical Properties of Hot Rolled, Low-Carbon Steel Strips Using Artificial Neural Network

Materials and Manufacturing Processes ◽

10.1081/amp-200055140 ◽

2005 ◽

Vol 20 (5) ◽

pp. 793-812 ◽

Author(s):

Ananya Mukhopadhyay ◽

Asif Iqbal

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Artificial Neural Network ◽

Carbon Steel ◽

Low Carbon Steel ◽

Steel Strips ◽

Artificial Neural ◽

Prediction Of Mechanical Properties ◽

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